The combination of Python, SQL, and Markdown within one "script" is invaluable. Sometimes Python doesn't do enough and I need to write some SQL code. Also we have a lot of R users in our organization so adding that is super helpful for us! Review collected by and hosted on G2.com.

The fact that I can't press "Cmd + Enter" to run a cell is borderline criminal. The way you have users run code by defaulting to run every cell is awful. It genuinely makes me want to use other products. "Cmd + Enter" or "Ctrl + Enter" is universal in programming. It should be the case in Hex as well. Review collected by and hosted on G2.com.

I use Hex for understanding revenue, costs, capacity use, and reliability of our infrastructure. I appreciate how it makes it way easier to get visibility into what's going on and to share insights between technical and non-technical parties. It's like a lingua franca for working with finance. I really like the ease of integration with BigQuery and the overall look and feel of the dashboards it creates. It's easier for me to use Hex to query BigQuery than using BigQuery's own UIs. The initial setup of Hex was also very easy. Review collected by and hosted on G2.com.

There are a few things: 1. The autocomplete is still really bad for Python. 2. Better inline views of tables, etc to guide me in creating queries. 3. I'd love to have some more chart types to play with. 4. There should be better support for blending different time series into the same plot without creating additional dataframes and hacking it the hard way. For example, blending a revenue query with a cost query is actually kind of hard. Review collected by and hosted on G2.com.

I like the organization of the notebook in Hex, clean and tidy thanks to the ability to rename everything, and I find it easy to update using the search tool. I appreciate the ability to comment, which allows me to ask for feedback on charts directly. I find the integrated AI very useful for solving errors by providing context, for performing extractions with great accuracy and Python code. Additionally, the ability to give personalized instructions is an advantage, as Hex is able to correctly filter the various tables based on the requests made. Review collected by and hosted on G2.com.

The default charts of Hex are limited and lack important features. They are not very interactive once published in a dashboard, and the axis names cannot be parameterized with input. The collections function is unclear and lacks a system of folders and subfolders, making it difficult for stakeholders to find the dashboards and analyses of their interest. The settings for publishing a notebook are unclear regarding the use of the cache. The graph mode of the notebook is interesting but currently confusing and does not help in understanding the organization. Review collected by and hosted on G2.com.

I love how Hex's AI agent keeps improving with every release, really empowering my job through brainstorming, code building for SQL or Python, and general debugging. It's pretty smart and handles notebook cells, such as deletion, creation, input, and filters, effectively builds apps on its own, and significantly speeds up the delivery of data apps. I use Hex for data analytics, developing data apps, sharing notebooks with colleagues, and cooperating with fellow data analysts. The integration with Slack for notifications and the ability to attach graphs in Notion smartpapers are also valuable. Review collected by and hosted on G2.com.

I don't like the repetitive clicks for formatting metrics and repetitive specifications to prompt the AI agent. Also, the repetitive cell creations just for adding text in the app builder are tedious. The notification system should be more flexible about the conditions to trigger alerts, not limited to when a dataframe reaches a certain amount of rows. Initially, using Kjingas grammar for dynamic filters was not straightforward, and it was unclear how to feed SQL codes stored in strings from other dataframes. Review collected by and hosted on G2.com.

I really like how easy Hex is to use. They have a lot of prebuilt components that require less customization, which makes it more straightforward. I also enjoy being able to query from other data frames that you can produce within Hex. It's self-referential and allows for efficient data manipulation. Review collected by and hosted on G2.com.

Hex has released a couple updates that have broken some of my setups because some logic that previously worked no longer works within the new update. It's a bit frustrating having to go back and update every single one of my setups when one of those updates happens. Review collected by and hosted on G2.com.

I like Hex for its ease of use and quick response to my queries. I also appreciate the AI agent which creates charts and queries automatically, saving me a lot of time and effort in terms of data analysis. The initial setup of Hex was quite simple. Review collected by and hosted on G2.com.

When it runs heavy queries, it gives up then and there instead of offering a solution such as narrowing down the query to a certain cohort, limiting the output enough for a solid sample, etc. Review collected by and hosted on G2.com.

I use Hex for executing data science and analytics tasks, like creating internal-facing dashboards and running ETL processes. I find it very easy to access Snowflake data and like the ability to switch between SQL and Python to complete complex tasks. Creating dashboards is particularly simple, and I love the ease of creating parameterized workflows. My two favorite features are the ease of dashboard creation and the fantastic AI tool. The AI tool stands out because it views the entire codebase, understands what I'm trying to accomplish, and does a great job of writing its own code or fixing errors. Setting up Hex was very easy, which is one of my favorite parts because it makes sharing notebooks and components with my teammates super easy. I can also see the source code for dashboards very easily, which I really enjoy. Review collected by and hosted on G2.com.

I feel there is a data engineering component that could be improved. I would LOVE to see an ability to run workflows that save files into a Hex filesystem that would make files accessible across other projects. One thing I've been struggling with is using components that involve complex queries in dashboards with live filters because by making one change it re-executes the entire component. Ideally, I'd like to have some workflows that run the component code daily, save out a CSV file, then my dashboard accesses that CSV file so it doesn't waste compute and improve dashboard speed and end user experience. It's not easy for data scientists to get access to Snowflake to create temporary tables, so having some kind of HDFS setup would be great to allow us to easily quick and dirty save out files for re-use within Hex or download for using in other setups. Review collected by and hosted on G2.com.

Everything. I feel like Hex has been the data partner that helps me better understand my business outcomes and clarify the next goals I want to build toward. What's also great: you chat, Hex provides! Super easy to use, and has become my sidekick using it several times a day. Review collected by and hosted on G2.com.

Nothing so far! Hex has even pointed out small gaps in the data tables and shown that what looked like hallucinations weren’t really that, but rather data opportunities to improve. Review collected by and hosted on G2.com.

I like the versatility that Hex offers by combining Python and SQL with the context of the data warehouse and the agent. I also appreciate the discoverability of insights and data. Development in notebook mode is simple and increasingly clear with the sections and the filter component. Additionally, lately, the agent has surprised me with its good performance. The initial setup of Hex was very simple and comes with good documentation. Review collected by and hosted on G2.com.

The slowness sometimes in some dashboards, it would be good to advise on how to better develop the notebook to optimize it in terms of speed. Review collected by and hosted on G2.com.

I like that Hex is generally pretty easy to use and rerun once I make updates to previously generated sections of a dashboard. The things that I know how to do with Hex are pretty intuitive. Review collected by and hosted on G2.com.

There are some things that just don't feel super intuitive. I wish it was easier to just query from something that I utilize quite frequently. Finding things within a similar structure or source could be a huge improvement because oftentimes, I find it hard to just do basic things that I do all the time. You have to create the right kind of module or query from the right data source. Review collected by and hosted on G2.com.